I let an AI agent run wild in our database and it nuked a table. Here's why I didn't revoke access.
When you hand an AI agent the keys to your database, you expect it to have some level of common sense. I gave an agent a loose prompt to "clean up" some old leads. Within seconds, it executed my instructions flawlessly and nuked an entire table.
The immediate instinct is to panic, lock down the system, and go back to doing things manually.
But the failure wasn't the AI's fault. It was mine. Agents are highly efficient rule followers. If an agent destroys your production data, it's because you blindly told it to. It amplified my lazy instructions.
Instead of giving up, I added two strict guardrails the next morning. Hard rules on what it could read vs what it could delete. With those boundaries in place, that exact same agent turned into our best tool, doing the work of three people safely.
AI amplifies both your brilliance and your laziness. If you're building agentic workflows, you can't rely on the LLM to guess your intent. You have to build the guardrails first.
Has anyone else had a catastrophic agent failure that taught them how to actually write good guardrails?